발간년도 : [2020]
| 논문정보 |
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| 논문명(한글) |
[Vol.15, No.5] A Study on the Establishment of Agricultural Big Data Platform for the Revitalization of Smart Agriculture |
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| 논문투고자 |
Si-Young Rho, Jin-Ho Won, Hyun-Jong Kim, In-Chan Choi, Kang-Su Kwak |
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| 논문내용 |
This study designs agricultural big data platform for commercialization of smart agriculture. The agricultural big data platform was designed in consideration of the management and analysis of data for the establishment of an agricultural data system that is the basis of various agricultural technologies. Data collection and distribution standards for smooth operation were established to enhance the efficiency of information use. The composition of agricultural big data platform consists of data standard management, collection data processing, analysis module, statistical module and information provision module. Data standard management controls data standardization and data quality control. In the processing of collected data, it is responsible for data conversion, processing, and storage, and it is stored separately by weather, farmland, soil, sensor, growth information, and pest data. The analysis module provides information by analyzing the growth prediction, pest prediction and yield prediction information. The statistical module provides information on temperature and humidity, yield and farmland information on farmland. The information generated by the analysis module and the statistical module is provided to the user by dividing the information into weather, farmland, statistics, soil, sensors, growth prediction, and pest prediction through the information provision module. The established agricultural big data platform provides information to farmers and agriculture-related enterprises. Improve farm yield by information-based farm operation. It will be operated for smart agricultural development such as big data and artificial intelligence in agriculture-related enterprises. |
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